diplomska naloga
Anže Pregrad (Avtor), Samo Drobne (Mentor), Anka Lisec (Član komisije za zagovor), Tilen Urbančič (Član komisije za zagovor)

Povzetek

Modeliranje funkcionalnih regij s pomočjo podatkov gostote prometa

Ključne besede

geodezija;diplomska dela;TUN;funkcionalne regije;gostota prometa;metoda gostote jedra;metoda inverzne utežene razdalje;

Podatki

Jezik: Slovenski jezik
Leto izida:
Izvor: Ljubljana
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
Založnik: [A. Pregrad]
UDK: 314.116.3:656.05:711.7(497.4)(043.2)
COBISS: 6403937 Povezava se bo odprla v novem oknu
Št. ogledov: 1810
Št. prenosov: 538
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Modelling of functional regions using data on traffic density
Sekundarni povzetek: In this thesis we studied the use of interpolation methods for modelling functional regions using data on traffic density. Traffic density is modelled by annual average daily traffic. It was interpolated using the Kernel density method and the Inverse Distance Weighted method. Delimitation of functional regions in Slovenia was carried out by using the centres of functional regions defined in (Zupanec, 2012) and through modelling processes of cost surfaces and allocations in the geographic information system. We modelled two to twenty functional regions in Slovenia in the years 2005, 2006, 2009 and 2010. The results of our approach were compared with previously modelled functional regions using the Intramax method (Zupanec, 2012). The results of the comparison showed that functional regions modelled by the Kernel density method are more consistent with the regions modelled by the Intramax method as regions modelled by Inverse Distance Weighted method. In this case, the smallest deviations between functional regions were in the case of delimitation of Slovenia into three and seven functional regions.
Sekundarne ključne besede: graduation thesis;geodesy;TUN;functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Komentar na gradivo: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Strani: XI, 44 str.
Vrsta dela (ePrints): thesis
Naslov (ePrints): Modelling of functional regions using data on traffic density
Ključne besede (ePrints): funkcionalne regije;gostota prometa;metoda gostote jedra;metoda inverzne utežene razdalje
Ključne besede (ePrints, sekundarni jezik): functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method
Povzetek (ePrints): V diplomski nalogi smo proučili uporabo metod interpolacije gostote prometa za modeliranje funkcionalnih regij. Gostoto prometa smo modelirali s pomočjo podatkov povprečnega letnega dnevnega prometa po metodah gostote jedra in interpolacije z inverzno uteženo razdaljo. Členitev Slovenije na funkcionalne regije smo izvedli s pomočjo središč funkcionalnih regij opredeljenih v (Zupanec, 2012) ter s pomočjo postopkov modeliranja stroškovnih ploskev in alokacije v geografskem informacijskem sistemu. Slovenijo smo členili na dve do dvajset funkcionalnih regij v letih 2005, 2006, 2009 in 2010. Rezultate modeliranja funkcionalnih regij smo primerjali s predhodno modeliranimi regijami po metodi Intramax (Zupanec, 2012). Rezultati primerjave so pokazali, da se funkcionalne regije modelirane po metodi gostote jedra bolj skladajo z regijami modeliranimi po metodi Intramax kot regije modelirane po metodi inverzne utežene razdalje. V tem primeru so bila najmanjša odstopanja med funkcionalnimi regijami v primeru členitve Slovenije na tri in sedem funkcionalnih regij.
Povzetek (ePrints, sekundarni jezik): In this thesis we studied the use of interpolation methods for modelling functional regions using data on traffic density. Traffic density is modelled by annual average daily traffic. It was interpolated using the Kernel density method and the Inverse Distance Weighted method. Delimitation of functional regions in Slovenia was carried out by using the centres of functional regions defined in (Zupanec, 2012) and through modelling processes of cost surfaces and allocations in the geographic information system. We modelled two to twenty functional regions in Slovenia in the years 2005, 2006, 2009 and 2010. The results of our approach were compared with previously modelled functional regions using the Intramax method (Zupanec, 2012). The results of the comparison showed that functional regions modelled by the Kernel density method are more consistent with the regions modelled by the Intramax method as regions modelled by Inverse Distance Weighted method. In this case, the smallest deviations between functional regions were in the case of delimitation of Slovenia into three and seven functional regions.
Ključne besede (ePrints, sekundarni jezik): functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method
ID: 8312972